High emigration is NOT a reason that the population of the United States continues to grow.
Option E
<u>Explanation:</u>
In no case "high emigration" supports the population growth in United states because it is the process of leaving the country. When few people leaves United states for some how it can be considered as the reason for the increase in population growth of US.
The people coming into and leaving from the area known as net migration is the major cause for the increase in population of the United States. The advancement in medical technology reduced the death rate as a whole which in turn increases the population. The birth rate increased after WW-II which was denoted as "baby boom from 1940 till 1960" also increased the population growth. And also due to increase in population momentum the population increases.
There are at least five prime ministers up to date that have received the Nobel Peace Prize award. If you were asking for the first one who received it, the answer would be Hjalmar Branting: Prime Minister of Sweden who received the Nobel award in 1921 for supporting the establishment of the League of Nations, and promoting international cooperation between countries. Lester Pearson, Prime Minister of Canada in the 1950's seems like a popular search result as well. He received the award in 1957.
Rational Transparency is presenting the authentic self to others, openly expressing true thoughts and feelings appropriate for the situation
<h3>What is rational transparency?</h3>
It involves an individual opening up him or herself for people to see and understand.
It also includes expression of thought and emotions that are true.
Therefore, Rational Transparency is presenting the authentic self to others, openly expressing true thoughts and feelings appropriate for the situation
Learn more on transparency below
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Explanation:
I think this had to do with slavery. Hikes!
<span>The confounding variable in mike's experiment is
"gender of campers".
</span>
A confounding variable is an outside impact that alters the
impact of a dependent and independent variable. This incidental impact is
utilized to impact the result of a trial design. For instance, in the event that you are examining whether
absence of activity prompts weight pick up, absence of activity is your independent
variable and weight pick up is your dependent variable. Confounding variables
are any other variable that likewise affect your dependent variable.
